How far will you go? From empirical findings to formalization of walking route distances

• Published in: Computers, environment and urban systems Vol. 110; p. 102117
• Main Authors: Almagor, Jonatan, Omer, Itzhak, Omer, Noam, Birenboim, Amit
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01-06-2024
• Subjects: Active travel; Built environment; GPS tracking; Log-normal; Walkability; Walking distance; Log-normal; GPS tracking; Active travel; Walkability; Built environment; Walking distance
• ISSN: 0198-9715
• DOI: 10.1016/j.compenvurbsys.2024.102117

Empirically based theorization of walking range patterns is rather limited, leading researchers and planners to rely on simplistic assumptions as to the typical distance and duration that pedestrians may walk. Using high-resolution GPS data collected from over 11,000 participants in the Tel-Aviv metropolitan area, we provide an empirical estimate for the distribution of walking route distance and duration, while examining potential factors that may affect it. In addition, we develop a general analytical framework that describes walking route patterns. Our results show that the average route distance and duration in Tel-Aviv metropolitan is 630 m and 7.9 min. Factors associated with walking range include socio-demographic characteristics of walkers (age-group, socioeconomic status and number of cars in a household) and city characteristics (longer routes in cities with a larger population and in areas with high density of street intersections). Our main finding is that walking route distance distribution can be best described using the theoretical log-normal distribution and can be characterized using its mean-log and SD-log parameters. The log-normal parameters make an analytical framework that enables the evaluation of differences in walking patterns between places and identification of where interventions are required to promote active travel. We explain why the log-normal distribution is likely to be suitable to other cases worldwide.
•Using GPS data collected from over 11,000 participants in the Tel-Aviv metropolitan, we extracted walking route trajectories.•We present an empirical distribution of walking route distance and duration and explore affecting factors.•We found that walking route distance distribution closely follows the log-normal distribution.•The log-normal parameters provide a framework to characterize and evaluate differences in walking patterns between places.